Professor, Mechanical Engineering
| |
Dr. Rajesh N. Dave Professor, Mechanical Engineering |
Particle Technology: Modeling and development of novel techniques for dry particle coating and manufacturing of engineered particles including nano-particles. Particle transport and handling/Flow and delivery from hoppers. Granulation using minimal amount of liquid and binders. Development of non-intrusive particle tracing technique for granular flow experiments. Development of motion analysis algorithms for high speed optical imaging of three-dimensional particle collisions. Pattern recognition and cluster analysis techniques to detect micro-structure in granular flows. Numerical simulations and particle-particle interactions. Particle size and shape characterization. Particle separation. Development of curriculum concentration in particle technology.
Pattern Recognition / Cluster Analysis : Fuzzy sets in clustering. Robust clustering. Clustering of relational data. Application of robust statistical techniques in cluster analysis. Shape detection in noisy data. Generalization of algorithms for multi-characteristic shape detection, e.g. hyper-spherical/ellipsoidal shells as cluster prototypes. Adaptive clustering. Cluster validity. Manufacturing applications.
Image Processing: Lines, curves and arc detection in digital images. Range image processing. Hough transform methods vs. Fuzzy Clustering.
Soft Computing: Applications of fuzzy logic/sets, neural networks to problems in mechanical engineering.
CAD/Robotics/Systems: Reverse Engineering through development of CAD models from image sensor data. Computer integrated manufacturing. Computer systems integration. Sensor integration.
Solar Energy/ Climatic Data Analysis: Climatic data analysis. Fourier analysis of temperature/radiation data for pattern search and data-compression. Liquid storage stratification. Correlation for hourly diffuse radiation. Metropolitan Climate Variation.
Back To Main
